ACToR
The ACToR system has changed, please send comments or questions to CSSDashboards@epa.gov
To link to ACToR main page, please use https://actor.epa.gov
To link to a specific chemical by CASRN, use the URL: https://actor.epa.gov/actor/chemical.xhtml?casrn=CASRN For example: https://actor.epa.gov/actor/chemical.xhtml?casrn=80-05-7
To get the best possible experience using the ACToR application we recommend using Mozilla Firefox, Google Chrome or Mac OS Safari.
EPA’s Aggregated Computational Toxicology Online Resource (ACToR) aggregates data from thousands of public sources on over 500,000 chemicals. It is searchable by chemical name and other identifiers. ACToR is also the data and web applications warehouse for EPA’s computational toxicology information which includes high-throughput screening, chemical exposure, sustainable chemistry (chemical structures and physicochemical properties) and virtual tissues data.
ACToR is the warehouse for EPA web applications which can be used to explore and visualize complex computational toxicology information.
- Chemistry Dashboard: Chemistry data for over 700,000 chemicals and includes chemical structures, experimental and predicted physicochemical and toxicity data.
- Toxicity Forecaster (ToxCast) Dashboard: High-throughput screening data on over 9,000 chemicals and information on approximately 1,000 assay endpoints.
- Endocrine Disruption Screening Program in the 21st Century Dashboard: High-throughput screening data, rapid exposure estimates, high-quality chemical structures and annotations and physchem property data used by EPA’s Endocrine Disruptor Screening Program to evaluate chemicals for endocrine-related activity.
- Chemical product category (CPCat) and exposure databases: Information on which chemicals can be found in categories of products (for example personal care products) and observational data from exposure studies.
- Downloadable Computational Toxicology Data and Models: High-throughput screening data, rapid exposure and dose, chemistry data and virtual tissues data and models.
Chemicals are organized into three main classes, the first two of which are modeled closely after the corresponding PubChem data model
Assays are composed of a set of assay components. These can be quantitative measurements, annotations, or URLs to other sources.
All data is initially compiled as part of a set of Data Collections. A data collection is at minimum a set of substances with corresponding CAS registry numbers and names. Additional information may include chemical structures and assays. As mentioned above, a generic chemical links together data from many data collections on all substances that share a common CAS registry number
In the following summary table, assay results count each substance x assay component x assay combination
Summary Statistics
| Category | Count |
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